Project Report: Recent submissions

  • Unknown author (Daffodil International University, 2024-07-24)
    This report details the design, implementation, and testing of a Smart Water Hydrant system using advanced Internet of Things (IoT) technologies. Developed individually, this project utilizes Node-RED for visual programming ...
  • Sijon, Khaled Bin (Daffodil International University, 2024-07-24)
    Heart disease is a major risk to public health, accounting for 17.9 million deaths globally annually. Predicting cardiac disease with machine learning (ML) approaches like Linear Regression, Random Forests, Naive Bayes, ...
  • Haque, Majbaul (Daffodil International University, 2024-07-24)
    The frequency of alopecia, a group of illnesses characterized by hair loss, makes diagnosis and treatment extremely difficult. Conventional diagnosis techniques produce outcomes that are subjective and inconsistent since ...
  • Chowdhury, Fatin Fuad (Daffodil International University, 2024-07-24)
    Classification of fresh and rotten vegetables is essential in our everyday life as it becomes difficult sometimes to identify earlier whether the vegetables are fully fresh or not. There is a possibility of suffering ...
  • Mahamud, Md. Hasan (Daffodil International University, 2024-07-24)
    MRI scans can be used to diagnose some types of brain diseases, which can lead to early treatment of the diseases. This study employs deep learning approaches to develop robust models for automated brain disease detection ...
  • Rahim, Md Abdur Raufur (Daffodil International University, 2024-07-24)
    This project aims to develop a web-based car servicing center to modernize the automotive service industry. The platform offers customers the convenience of booking services online 24/7, with real-time updates and seamless ...
  • Dhar, Bijoy; Shuvo, Monir Husain (Daffodil International University, 2024-07-24)
    Millions of individuals worldwide suffer from skin illnesses, which pose considerable health and economic difficulties. Accurate and prompt diagnosis is crucial for successful treatment and management. Traditional ...
  • Rafid, Golam Faiyaz; Das, Shreya (Daffodil International University, 2024-07-13)
    The recognition of emotions in animals, particularly birds, through vocalizations holds significant promise for understanding avian behavior and welfare. In this study, we propose a novel approach to classify bird species ...
  • Bishal, Sabria Alam (Daffodil International University, 2024-01-25)
    It's critical for the growth of the fetus as well as the health of the mother to get enough nutrients throughout pregnancy. Women need special attention throughout pregnancy. Maintaining a balanced diet and sufficient ...
  • nahar, Faijun (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-14)
    The development of automatic speech recognition systems for Arabic presents unique challenges, particularly due to the complexities of Classical Arabic, which has been underrepresented in research. Proper pronunciation of ...
  • Gosh, Sagar (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-14)
    The Internet of Things (IOT) promotes technology that can be used for such inventions the article analyzes the conceivable of IOT for various applications, including child safety, water level monitoring, and fire alarms. ...
  • Puja, Shenjuti Paul (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-14)
    Climate change is an alarming problem in the world, in recent years the extreme heat wave has been quite noticeable. For the last couple of years a temperate country like Bangladesh, is suffering from extreme heat waves. ...
  • Hossain, Md. Rakibul (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-15)
    Eye disorders pose a significant global health challenge, often causing permanent vision loss if not detected and treated promptly. Recent advancements in medical image analysis, particularly through deep learning techniques ...
  • Brishti, Bipasha Babul (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-13)
    In my research project titled "Depression detection from social media activity using machine learning," I investigate the effectiveness of various machine learning algorithms in identifying depressive symptoms from social ...
  • Mojumder, Purnata (DAFFODIL INTERNATIONAL UNIVERSITY, 2024-07-18)
    Skin cancer, a significant global health concern, demands innovative approaches for early detection to improve patient outcomes. This research endeavors to contribute to this imperative by developing an advanced skin cancer ...
  • Ahammad, Md. Saymon; Sinthia, Sadia Akter (Daffodil International University, 2024-07-24)
    The research titled “Feature Engineering for Students Academic Performance and Reignition Using Machine Learning and Deep Learning” highlights the transformative potential of modern computational methods in strengthening ...
  • Zaman, Fariha (Daffodil International University, 2024-07-24)
    A widely recognized paradigm exists for imaging purposes in the identification of skin disorders. In recent years, many medical professionals, including physicians, use CAD to assist them more accurately detect a range ...
  • Salman; Afridi, Shahed (Daffodil International University, 2024-07-01)
    Research on the recognition of regional accents in spoken language helps preserve regional dialects and increases the accessibility of technology to speakers of such languages. We provide our work on spoken data ...
  • Ghosh, Bandhan (Daffodil International University, 2024-07-24)
    Stress and anxiety can have profound impacts on an individual's mental and physical well-being, making their early detection crucial for timely intervention and support. This study investigates the application of machine ...
  • Hossain, Rahid (Daffodil International University, 2024-07-24)
    Skin diseases are more common than other disease in Bangladesh. Skin diseases may be caused by fungal infection, bacteria, hot weather, allergy, or viruses, etc. The thesis paper on skin disease detection focuses on the ...

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